Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2014 Apr 4;9(4):e93083. doi: 10.1371/journal.pone.0093083

Putting the C Back into the ABCs: A Multi-Year, Multi-Region Investigation of Condom Use by Ugandan Youths 2003–2010

Joseph J Valadez 1,3,#, Caroline Jeffery 1,3,*,#, Rosemary Davis 1,3, Joseph Ouma 2,3, Stephen K Lwanga 2,3, Sarah Moxon 1,3
Editor: Stephane Helleringer4
PMCID: PMC3976401  PMID: 24705381

Abstract

A major strategy for preventing transmission of HIV and other STIs is the consistent use of condoms during sexual intercourse. Condom use among youths is particularly important to reduce the number of new cases and the national prevalence. Condom use has been often promoted by the Uganda National AIDS Commission. Although a number of studies have established an association between condom use at one’s sexual debut and future condom use, few studies have explored this association over time, and whether the results are generalizable across multiple locations. This multi time point, multi district study assesses the relationship between sexual debut and condom use and consistent use of condoms thereafter. Uganda has used Lot Quality Assurance Sampling surveys since 2003 to monitor district level HIV programs and improve access to HIV health services. This study includes 4518 sexually active youths interviewed at five time points (2003–2010) in up to 23 districts located across Uganda. Using logistic regression, we measured the association of condom use at first sexual intercourse on recent condom usage, controlling for several factors including: age, sex, education, marital status, age at first intercourse, geographical location, and survey year. The odds of condom use at last intercourse, using a condom at last intercourse with a non-regular partner, and consistently using a condom are, respectively, 9.63 (95%WaldCI = 8.03–11.56), 3.48 (95%WaldCI = 2.27–5.33), and 11.12 (95%WaldCI = 8.95–13.81) times more likely for those individuals using condoms during their sexual debut. These values did not decrease by more than 20% when controlling for potential confounders. The results suggest that HIV prevention programs should encourage condom use among youth during sexual debut. Success with this outcome may have a lasting influence on preventing HIV and other STIs later in life.

Introduction

In the past decade, the international public health response to the human immunodeficiency virus (HIV) epidemic has been strengthened. This is partly due to biomedical advances, such as the introduction of male circumcision as a viable prevention measure [1] and the expansion of antiretroviral (ARV) treatment options [2]. Despite the potential of these interventions to reduce rates of HIV transmission, they offer only partial protection from the sexual transmission of HIV, the main mode of transmission in Sub-Saharan Africa [3], where HIV persists as a major public health and development challenge. If used correctly and consistently, the male latex condom remains an important method available to individuals that can offer up to 95% protection from the sexual transmission of HIV [4]. Consistent use of condoms can also protect against most other sexually transmitted infections (STIs) [5] and offer protection from unwanted pregnancies. However, UNAIDS raised concerns about the low rates of condom use in African countries, particularly by youths, a population group especially vulnerable to HIV [3], [6].

Uganda was the first country in sub-Saharan Africa to reverse the adult prevalence of HIV in the 1990s [7]. However, the impressive initial reversal in the trend of HIV prevalence plateaued in Uganda. In 2009, HIV prevalence in Uganda was 7.3% [8] marking a slight increase from previous estimates. Many HIV experts are reluctant to credit the early reduction in HIV prevalence to one key message or intervention. Nevertheless, condom distribution and promotion of their use is critical component of Uganda’s HIV prevention strategy.

Recent investigations of the predictors of condom use have produced diverse findings [9][14]. Education level, economic status, and age were all positively correlated with condom use [11], [15][17]. Exposure to prevention messages, while positively associated with condom use, is substantially influenced by sex, economic status, age difference between partners, and the length of the relationship [6], [12], [18][20]. Knowledge that you yourself may be at risk of HIV, does not necessarily lead to using a condom [19].

Given that contextual and demographic factors may not easily be targeted through shorter-term public health interventions, researchers have analysed the experience of condom use in early sexual encounters. A recent study reports that people who use condoms in early sexual encounters are more likely to use condoms in later sexual encounters, and that a positive experience of condom use is a strong predictor of subsequent use [21]. This finding is pertinent to Uganda, as in many other countries [22], a person’s sexual debut frequently occurs before the age of 18 [23], [24]. If condom use is established at the earliest sexual encounter, individuals may be more likely to use a condom at their most recent sexual encounter and more likely to use condoms consistently with both regular and non-regular partners [10], [25][28]. Despite concerns that promoting condom use in young adults encourages sexual promiscuity, more recent evidence indicates the contrary. A multi-country study suggests there is no increase in the number of sexual partners between those who were exposed to condom promotion programs at a younger or an older age [29].

Our current study contributes to this literature through investigation of a unique database. We consider the effects of condom use by youths at their sexual debut over time using retrospective cross-sectional data. The data were collected over multiple time points, using multiple independent surveys carried out each year in a large number of different districts at each time point. This study analysed factors associated with several condom use measures in Ugandan youth aged 15–24 years old (n = 4493) over a 7-year period (2003–2010). We assess whether condom use at sexual debut was associated with recent condom use, adjusting for time, age, sex, education and Ugandan region. We cannot include economic status in this assessment, because household assets questions were not included in the questionnaires. The questions on condom use and sexual behaviour remained unchanged across the study time period. We carried out this epidemiological study with the aim of understanding determinants of condom use in Ugandan youth, over time, in order to inform future prevention programs. We hypothesised that those youth using a condom at sexual debut would be more likely to use a condom consistently and at future sexual encounters, adjusting for a number of demographic factors, such as age and educational level, in addition to time and space. We also expected that this relationship would exist regardless of the type of partner (regular or non-regular) and perceived risk of HIV. If messages and experiences learned in early sexual encounters play a consistently strong role in shaping future behaviours related to safer sex, our results could offer important evidence to guide social policy towards more focused and targeted behavioural interventions to successfully promote condom and safer sexual behaviour by youths.

Methods

Ethics Statement

This study uses secondary data sources, and we have obtained permission of the Uganda Ministry of Local Government to carry out these analyses.

Data

The data were collected using multiple cross-sectional district level community surveys during 2003–2010. In 2003, the Uganda AIDS Commission (UAC), with the support of The World Bank, introduced Lot Quality Assurance Sampling (LQAS) methodology to monitor HIV-related indicators, including condom use, at the district and sub-district level. It was introduced during 2003 into 19 (of the then 56) districts comprising the country, and expanded to 11 more in 2004 [30], [31]. In 2009, USAID provided funding to support the roll out of LQAS as a national health sector monitoring system (http://www.starelqas.ug). This same funding will make the dataset available for wider use by the public during 2014 through an as yet unidentified Ugandan institution. By 2011, LQAS surveys had been completed in 53 of the current 112 districts comprising the country. Many of the districts implemented surveys at one or more time points from 2003–2011. During this period Uganda had sub-divided its districts leading to an increase from 56 (2003) to 112 (2011). Between 2003 and 2010 five multi-district surveys were completed and included in this study (Table 1). Areas surveyed during the first three time points were distributed across the four Uganda regions (Central, Eastern, Northern and Western), while recent time points focus on districts in the Eastern (2009, 2010) and South Western (2010) regions. All districts supported by donors were included in the study. They include The World Bank (2003–2006) and USAID (2009-present). Donors tended to select the districts they worked in, choosing those with the lowest health indicators. All data used in this study are representative of these districts, and are not intended to be representative of the country as a whole. At each time point, teams interviewed up to six respondent groups: youths 15–24 years, women 15–49 years, men 15–54 years, mothers with infants 0–11 months, mothers with children 12–23 months, and orphans and other vulnerable children. This study focuses on the analysis of data collected among youth aged 15–24 interviewed between 2003 and 2010 for which the measures of condom usage and sexual behaviour remained unchanged.

Table 1. Overview of samples of youths included in this study across time and region in Uganda during 2003 to 2010.

Year Region TotalNo. ofdistricts Total No. ofdistrictssurveyed Total No.sampled No. responses forCU at firstintercourse No. responses forCU at most recentintercourse No. responses for CUat lastintercourse withNR partner No. responsesfor frequencyof CU
2003 Central 13 6 612 428 406 85 426
Eastern 15 5 488 323 303 41 321
Northern 13 2 297 174 167 19 172
Western 15 6 659 380 366 41 379
All 56 19 2056 1305 1242 186 1298
2004 Central 13 1 283 172 180 44 172
Eastern 15 4 190 153 155 59 153
Northern 13 4 190 126 132 32 126
Western 15 2 380 253 260 86 251
All 56 11 1043 704 727 221 702
2006 Central 13 3 284 175 176 22 174
Eastern 15 2 190 96 94 21 95
Northern 13 2 223 148 147 20 147
Western 15 5 490 318 317 56 314
All 56 12 1187 737 734 119 730
2009 Eastern 24 4 406 250 236 35 253
All 80 4 406 250 236 35 253
2010 Eastern 32 9 937 580 537 118 582
Western 30 14 1558 650 589 84 648
All 112 23 2495 1230 1126 202 1230
Total 7187 4226 4065 763 4213

CU: Condom use.

NR: Non-regular.

Sampling Methodology

The LQAS methodology was used at all five time points included in this study. The method first appeared in the context of industrial quality control [32]. During the mid-1980s it was adapted to the health sciences [33], [34]. LQAS is a classification method conducted at a local level to assess administrative units according to a coverage target for an intervention. Typically, a manager of a catchment area (CA) is trained to use LQAS to assess each administrative unit or supervision area (SA) responsible for implementing the intervention. In Uganda, districts (the CAs) are divided into counties and then further divided into sub-counties (the SAs). In Uganda, LQAS was introduced to classify the SA. An in-depth review of LQAS can be found in [33]. However, this paper makes use of another feature of the survey design. Each district surveyed was stratified into 4 to 7 SAs, based upon how district teams delivered services. In each SA, a sample of 19 random locations, using villages (or 24 if 4 SAs) were selected using probability proportional to size (PPS) sampling. In each location, individuals were randomly selected using segmentation sampling. As The SA sample size was selected so that when county data are aggregated, the resulting district-level coverage proportion estimates for key indicators may be calculated with a 95% confidence interval not exceeding ±10% [35], [36]. When multiple district data are aggregated the range of the confidence interval narrows substantially. As this paper does not make use of LQAS classifications we refer the reader to other sources for further discussion of the technique [33], [34], [37].

Data Collection

Data were collected using a pretested, structured household questionnaire. Questionnaires were conducted with eligible respondents: either male or female, aged 15–24 years old. If more than one candidate was present in the household then one was selected randomly. Data collectors were health professionals from the county and district they were responsible for managing.

Measures

Each survey included questions on social demographic characteristics of the youth, HIV Counselling and Testing (HCT) history, sexual behaviour and prevention of mother to child transmission of HIV (PMTCT), and sexually transmitted disease (STI), and HIV knowledge. Condom usage, referring to male condom usage only, was measured with five questions:

  1. ‘Have you ever used a condom during sexual intercourse?’

  2. ‘Did you use a condom the first time you had sexual intercourse?’

  3. ‘The last time you had sexual intercourse did you use a condom?’

  4. ‘In the last act of sexual intercourse with a person who is not your wife (husband) or someone you live with or a regular partner did you use a condom?’

  5. ‘When you have sexual intercourse, do you always use a condom or only sometimes or never?’

The first four questions had response options Yes/No. The last question was used to define the variable ‘Always uses a condom (Yes/No)’. Variables selected as potential factors were sex, age, marital status, education level, age at first sexual intercourse, perceived risk of HIV, ever had an HIV test, ever had an HIV test and knows the result, survey year and Ugandan region. Table 1 shows the breakdown of sample sizes for our measures of primary interest at the different time points and Ugandan regions surveyed.

Data Analysis

Data from the five time points were merged into one database and analysed in R-v2.13.1. The analysis was restricted to individuals who reported any history of sexual activity. A sexually active participant was defined as anyone reporting age at first sexual intercourse as between 10 and 24 years, anyone reporting ever using a condom, anyone having intercourse with a non-regular partner (NR) in the last 12 months, anyone ever been married (currently married, widowed or divorced/separated), or anyone not captured with the previous four criteria who answered Yes to the question ‘Have you ever had sexual intercourse?’ We first estimated the effect of condom use at first sex on condom use at the most recent sexual encounter, condom use with a NR partner and consistency of condom use. The associations were later adjusted for potentially confounding factors. Variables were selected as potential confounders if they were significantly associated (p<0.1) with any of the condom usage measures. All associations were measured using logistic regression. Significance was assessed with likelihood ratio tests and estimates reported with 95% Wald confidence intervals.

Results

Of the 7187 youths included in the study across the five time points, 63% (n = 4518) reported a history of sexual activity. This corresponds with the 2011 DHS, which found 64% of Ugandan youths to be sexually active (UDHS, 2011). This subset was used for the analysis; their descriptive data are shown in Table 2. Sexually active youths were almost equally divided between females (50.3%) and males (49.7%). Their average age was 20.2 years within a range of 15–24 years. Most individuals (74.8%) had their first sexual intercourse between the age of 15 and 19 years, mean 16.5, median 17.0. Approximately 45% were married or lived with their partner. Almost 35% had attended secondary or post-secondary level education. A third (33.1%) of the participants perceived themselves as being at high risk of acquiring HIV. Almost 60% of participants reported having ever used a condom; however, only 34% and 30% reported using a condom at sexual debut and during their most recent sexual intercourse, respectively. More than 45% of the participants who reported having intercourse with a NR partner in the previous year used a condom at last intercourse. Nearly 19% of sexually active youths reported always using a condom during intercourse, while, alarmingly, almost 49% reported never using one.

Table 2. Characteristics of sexually active youths participating in LQAS surveys across Uganda between 2003 and 2010 (n = 4518).

Characteristic Number/Denominator* Percentage
Socio-demographic
Sex
Male 2235/4493 49.7%
Female 2258/4493 50.3%
Age (years)
15–19 1756/4518 38.9%
20–24 2762/4518 61.1%
Mean; median 20.2; 20.0
Age at first intercourse (years)
10–14 689/4269 16.2%
15–19 3194/4269 74.8%
20–24 386/4269 9.0%
Mean; median 16.5; 17.0
Marital Status
Single (No partner/Non-regular partner/Regular partner) 2365/4513 52.4%
Married or living together 2021/4513 44.8%
Widowed/Divorced/Separated 127/4513 2.8%
Education
None 278/4483 6.2%
Primary (Incomplete & Completed) 2651/4483 59.1%
Secondary (O level, A level) 1347/4483 30.0%
Post-secondary 147/4483 4.6%
Perception and attitudes related to HIV
Perceived risk of acquiring HIV
None 1155/4507 25.6%
Low 1374/4507 30.5%
High 1490/4507 33.1%
Don’t know 482/4507 10.7%
Known HIV positive status** 6/4507 0.1%
Ever had an HIV test 1329/4518 29.4%
Ever had an HIV test and knows result 1172/4518 25.9%
Condom usage
Ever used a condom 2652/4431 59.9%
Used a condom at sexual debut 1432/4226 33.9%
Used a condom at most recent intercourse 1218/4065 30.0%
Had intercourse with a NR partner in last 12 months
Yes 1226/4117 29.8%
No 2891/4117 69.5%
No response 45/4117 1.1%
Used a condom at last intercourse with NR partner 566/1226 46.2%
Frequency of condom use
Always 789/4213 18.7%
Sometimes 1368/4213 32.5%
Never 2056/4213 48.8%

*Denominators may vary due to missing data.

**Response option only present for 12 districts surveyed in 2010.

Logistic Regression Models

Table 3 shows the univariate regression of condom use behaviour outcomes on selected independent variables. The main behaviour outcomes of interest include: condom use at sexual debut, condom use at most recent sexual intercourse, condom use at last intercourse with a NR partner and frequency of condom use.

Table 3. Odds ratios of the effects of socio-demographic and behavioural characteristics on condom use and sexual practice.

Condom use at firstintercourse (n = 4226) Condom use at mostrecent intercourse(n = 4065) Condom use at lastintercourse with NRpartner(n = 763) Always uses acondom (n = 4213)
Univariate Models
Age (years) 0.96(0.94–0.99)*** 0.95(0.93–0.98)*** 1.06(0.99–1.13)* 0.94(0.91–0.97)***
Sex (ref: Male) 0.95(0.84–1.08) 0.53(0.46–0.6)*** 0.86(0.61–1.21) 0.47(0.4–0.55)***
Education (ref: None) *** *** *** ***
Primary 1.51(1.24–1.83) 1.62(1.31–2.02) 1.21(0.76–1.9) 2.32(1.72–3.12)
Secondary 3.48(2.87–4.23) 4.03(3.25–5) 3.46(2.1–5.68) 6.23(4.67–8.32)
Post-Secondary 4.47(3.07–6.52) 6.12(4.16–9.01) 3.85(1.39–10.7) 8.34(5.37–12.93)
Married or living together (ref: Other) 0.47(0.41–0.54)*** 0.15 0.12–0.17)*** 0.66(0.45–0.96)** 0.09(0.07–0.12)***
Age at first intercourse (years) 1.09(1.06–1.12)*** 1.02(0.99–1.05) 1.14(1.06–1.22)*** 1.03(1–1.07)*
Region (ref: Central) ** ** ** **
Eastern 0.68(0.57–0.81) 0.6(0.5–0.73) 0.32(0.19–0.55) 0.58(0.47–0.71)
Northern 0.46(0.37–0.58) 0.51(0.4–0.64) 0.21(0.12–0.38) 0.49(0.37–0.65)
Western 0.41(0.34–0.5) 0.51(0.42–0.62) 0.48(0.27–0.84) 0.48(0.39–0.6)
Survey Year (ref: 2003) *** *** *** ***
2004 1.06(0.87–1.28) 1.05(0.86–1.27) 0.09(0.05–0.17) 0.98(0.78–1.22)
2006 1.28(1.06–1.54) 1.17(0.96–1.42) 0.96(0.41–2.2) 1.04(0.83–1.29)
2009 1.37(1.04–1.8) 1.01(0.75–1.37) 0.13(0.06–0.31) 0.92(0.65–1.28)
2010 0.77(0.65–0.91) 0.71(0.59–0.85) 0.26(0.14–0.48) 0.55(0.45–0.68)
Perceived risk of HIV (ref: none) ** *** ***
Low risk 1.1(0.93–1.31) 1.2(1–1.44) 0.94(0.57–1.54) 1.03(0.84–1.26)
High risk 1.02(0.86–1.21) 0.92(0.77–1.1) 0.67(0.41–1.08) 0.78(0.63–0.96)
Don’t know 0.74(0.58–0.95) 0.69(0.53–0.9) 0.65(0.34–1.25) 0.57(0.41–0.77)
Ever tested for HIV (ref: no) 1.21(1.06–1.39)*** 1.07(0.93–1.25) 1.32(0.9–1.94) 0.99 (0.84–1.18)
Ever tested for HIV and know results (ref: no) 1.19(1.03–1.37)** 1.05(0.9–1.22) 1.38(0.92–2.07) 1.02(0.86–1.22)
Tested for HIV in last 12 months(ref: no) 1.23(1.01–1.5)** 1.16(0.94–1.44) 1.02(0.57–1.81) 1.21(0.95–1.55)
Tested for HIV in last 12 monthsand know results(ref: no) 1.12(0.89–1.41) 1.17(0.91–1.49) 0.94(0.49–1.82) 1.24(0.94–1.64)
Condom use at first intercourse (crude) 10.37(8.87–12.11)*** 4.19(2.93–5.99)*** 11.93(9.89–14.39)***
Male only 10.91(8.83–13.49)*** 5.32(3.36–8.42)*** 11.59(9.18–14.63)***
Female only 11.24(8.8–14.36)*** 2.91(1.6–5.28)*** 15.61(11.04–22.07)***
Multivariate Model
Condom use at first intercourse(adjusted) 9.63(8.03–11.56)*** 3.48(2.27–5.33)*** 11.12(8.95–13.81)***
Male only †† 11.08(8.65–14.18)*** 4.56(2.63–7.91)*** 11.10(8.53–14.46)***
Female only †† 8.41(6.35–11.14)*** 2.33(1.11–4.9)** 11.06(7.51–16.28)

NR: Non-regular.

Ref: The reference group for the Odds Ratio calculation.

*Variable is statistically significant at p<0.1.

**Variable is statistically significant at p<0.05.

***Variable is statistically significant at p<0.01.

Data collected in 2006, 2009, 2010 only.

Controlled for sex, age, education, marital status, age at first intercourse, region, survey year, perceived risk for HIV and ever tested for HIV.

††

Controlled for age, education, marital status, age at first intercourse, region, survey year, perceived risk for HIV and ever tested for HIV.

For all four outcomes, condom usage increased from 2003 to 2006. We observed geographic disparities. For all four outcomes, condom use was significantly higher in the Central region. The odds of condom use at sexual debut, at last intercourse and consistent condom use were respectively, 48%, 18% and 18% higher in the Eastern than in the Northern region. The odds of condom use at last intercourse with a NR partner were 50% lower in the Northern than in the Western region. The odds of condom use at first intercourse were 66% higher in the Eastern than in the Western region. These results should be interpreted with caution, since the surveyed geographical area varies between time points. In particular the 4 districts surveyed in 2009 were located in the Eastern region, while the 2010 survey included 9 additional districts in the Western region.

The results also show that the odds of using a male condom at last intercourse or consistently during sexual intercourse are, respectively, 47% and 53% lower for women than for men. However there is no significant difference in the odds of condom use at first sex between males or females. The odds of condom use at sexual debut, most recent intercourse or consistent condom use during sexual intercourse decrease by about 5% for every year increase in the respondent’s age.

Additionally, for every one-year older a youth is when they first have intercourse, the odds using a condom at their sexual debut increases by almost 10%. Compared to their single counterparts, the odds of using a condom at last intercourse or at sexual debut are respectively 85% and 53% higher among youth who are married or living with their partner. Furthermore, youth who are married or living with their partner have a 91% increase in the odds of consistently using a condom compared to those who do not live with a partner or a spouse. Among those who had sexual intercourse with a NR partner in the last 12-months, the odds of using a condom at last intercourse are 34% lower among youth who are married or living with their partner compared to their single counterparts.

Higher education level is strongly associated with increased condom usage. Among youths with post-secondary level schooling compared with no schooling, the odds of using a condom at sexual debut are 4 times higher, the odds of condom use at last intercourse are 6 times higher, the odds of condom use at last intercourse with a NR partner are almost 4 times higher while the odds of using a condom every time they have sex are over 8 times higher. Additionally, the odds of having used a condom at first intercourse, last intercourse and consistently are, respectively, 26%, 31% and 43% lower among youths who do not know their risk of acquiring HIV, compared to those who perceive no risk of acquiring HIV.

In line with previous studies, this study shows that condom use at sexual debut is highly associated with condom use at most recent sexual encounter. When controlling for sex, age, education, marital status, age at first intercourse, region, survey year, perceived risk for HIV and ever tested for HIV, the odds of condom use at last intercourse are almost ten times higher if a condom was used at sexual debut. Using a condom at first sex also increases by more than three the odds of condom use with a NR partner and by more than eleven the odds of consistent condom use (Table 3 and Tables S1, S2, S3 in File S1). The associations are also high when measured for males and females separately.

Discussion

We studied the association between using a condom during first sexual intercourse and subsequent condom use in Ugandan youth in a multiple logistic regression model. Our findings show that condom usage at sexual debut is strongly correlated with condom use at most recent intercourse and with consistent condom use with both regular and NR partners. These relationships persist when adjusting for geographic region, educational level, sex, marital status, perceived risk of HIV and having ever taken an HIV test. These findings substantiate the need for youth HIV prevention and sexual health programmes introduced prior to the initiation of sexual intercourse. Encouraging youth to use condoms at first sexual encounter may help to promote and reinforce healthy sexual behaviour that lasts into later life.

In our study, we found that youth in Uganda who used a condom the first time they have sexual intercourse were nearly ten times as likely to use a condom at their most recent sexual encounter and nearly five times as likely to use a condom at last intercourse with a NR partner. This finding is consistent with studies in the United States [26], [38], Latin America [39], sub-Saharan Africa [10], [28], and Europe [40] showing that early use is associated with subsequent use. To the best of our knowledge, the current study is the first to isolate the important positive association of condom use at sexual debut even with high-risk sexual behaviours (such as sex with non-regular partners), and to demonstrate that this relationship is consistent across multiple time points and over multiple geographical locations.

One theory potentially explaining this association is that when youth understand the benefit of condom use early enough to embrace protective behaviour at the first sexual encounter, this keystone event may have a lasting impact on subsequent encounters, regardless of their type of partner. However, it may simply be the case that a certain portion of individuals have a tendency towards more healthy or protective behaviours and others may be risk takers, explaining why the same individuals maintain the health protective behaviours from the outset. Nonetheless, the multiple independent variables included in the Multivariate Model (Table 2) suggest that reality is complex and that controlling for variables such as education, age, and marital status is relevant to understanding this behaviour. Future studies will have to consider the motivations behind condom use at first and subsequent sexual acts; and need to take into account that not all sexual encounters are consensual [41].

Older age at sexual debut is associated with condom usage, regardless of partner type [28], suggesting that delaying the age of sexual debut could be encouraged as a means to reduce the risk of youths to HIV infection and unwanted pregnancy. This situation is compounded by the known increased biological vulnerability of younger women to the HIV virus. Comprehensive risk reduction programmes can include components on delaying sexual debut alongside the promotion of other behaviours that reduce risks of pregnancy and STIs, including negotiation and communication skills and correct condom use for when sexual activity does occur. This approach differs from programmes that promote abstinence alone, which often focus exclusively on abstinence from sex until marriage [42], [43]. This distinction is important considering that our study shows two thirds of Uganda youth 15–24 are already sexually active and of those, three quarters (74.8%) had their first sexual encounter between the age of 15 and 19 years old. Our study adds to a growing body of evidence suggesting that efforts should be made to promote condom use and other health protective mechanisms prior to the earliest age that youths tend to initiate sexual activity [27], [44]. Our results also suggest that such programmes can have an enduring and beneficial effect regardless of where or with whom they are implemented.

As we found that married youths were less likely to use condoms when having sex with a NR partner, prevention programmes may need to reinforce the importance of condom use for all youths. Regardless of partner type (marital or casual), there is a strong association between educational level and condom usage. Education may affect sexual behaviour in a number of ways, including improving social opportunities and access to health promoting resources that positively influence other personal characteristics known to be associated with condom use, such as self-efficacy and ability to negotiate.

Because the efficacy of condoms in protecting from HIV and STIs drops sharply when condom use is inconsistent, consistent condom use is the desirable health behaviour. One of our strongest findings is that youth in Uganda who use a condom the first time they have sexual intercourse were nearly twelve times as likely to report always using a condom. Earlier research found that condom use is a habitual action based on a learned routine, rather than being a mediated, calculated or rational decision, or one based on social or peer influences [27]. This result suggests that consistent condom use by youths is a habit, rather than a discreet decision made at each sexual encounter based on peer pressure or their knowledge of the risks of unprotected sex. A number of related studies has found that negative experiences with condom use in early sexual experiences is negatively associated with later condom use by both sexes [6], [21], [44], [45]. The combined evidence from these studies suggests that the early sexual experiences are formative. As our results show no difference between males and females in the odds of condom use at first sex, social programs should be broadly conceived and focus equally on both genders. If condom use occurs “successfully” in the encounter, it can establish behaviour that is carried forward, regardless of other social and demographic factors. These potentials are especially important in light of recent multi-country models of HIV transmission that indicate that extra-couple relations are a principal route for HIV transmission in low resource settings [46].

Even with ARV treatment options and the increased protection male circumcision may offer, early and consistent condom use is still necessary, and accrues health benefits in addition to reduced HIV transmission, such as the prevention of other STIs, and unwanted early pregnancies. In a meta-analytic review, early exposure to condom promotion messages has not been found to increase the overall frequency of sexual activity or number of partners [29]. Furthermore, when provided to higher risk groups, it has been shown to have greater potential to reduce partners and increase treatment seeking behaviour, especially when delivered as part of a comprehensive risk reduction programme [29], [43]. In addition to our evidence of the strong habit-shaping role that early condom use may play, studies in multiple settings indicate that promoting self-efficacy and negotiation skills increases condom use, particularly in females [13], [24], [47][50]. As a preventive action that depends on male cooperation, negotiation and self-efficacy, promotion strategies should focus on the different needs of both sexes. Confidential gender and youth friendly outlets can link voluntary testing and counselling services with the provision of free condoms and promote condom use through existing community institutions frequented by youth, whether they be faith based organisations, schools and youth centres or through the use of innovative social media. Policies, of course, should also articulate a supportive legal frameworks, as well as protective procedures, for young women who experience sexual violence. Targeted programmes have been more effective than less client-focused condom promotion efforts [29], [51], [52] but they may need more clear targeting for vulnerable youths, such as those who are out of school or internally displaced.

Limitations

This study measures associations, not causality. The relationship between condom use at first sexual encounter is statistically correlated with more consistent condom use and with use at most recent sexual encounter with both regular and NR partners. However, we cannot show that condom use at early sex will lead to condom use at later sexual encounters. Measuring condom use at a population or individual level is limited in itself, especially without directly observing the act [53]; self-reporting bias in questionnaire data could be improved by further refinements to questionnaires and improved interviewing techniques, but not removed entirely. These data could also be subject to recall bias, and thus the association we report between condom use at sexual debut and recent condom usage might be exaggerated. Qualitative research on perceptions, motivations and social and structural barriers to condom use in the youth population in Uganda could enhance our data and contribute to the design of effective, targeted risk reduction programmes. We also do not have information on forced sexual debut. Given the high prevalence of partner violence in some areas of Uganda [54] we recognize this limitation. Also, we note the lack of data concerning the social economic status of respondents. As a result we could not include this variable in the analysis. Finally, a complex sampling design was not incorporated into the statistical analysis, as the PPS sampling weights could not all be retrieved for some of the time points and districts. This non-inclusion may have biased our estimated OR and standard errors. However the strength of the associations and large sample size suggest the influence of not incorporating the weights is mild. Imputing the missing weight values and how best to address the change in district boundaries require more methodological statistical investigation which is part of our future work.

Conclusions

Our findings add to a growing body of evidence suggesting that young adolescents should be introduced to comprehensive HIV prevention and risk-reduction messages. Our main findings lead us to recommend promoting condom use to young people prior to the initiation of sexual activity [10] and, in particular, prior to sexual debut. If delivered successfully, these messages may help to establish a lasting and safe behaviour pattern in young people with benefits that extend beyond their early youth.

More research on the individual barriers to condom use could be helpful in targeting programs and identifying at-risk sub-groups who remain resistant or lack the necessary resources or power to adopt early and continuing condom use. Among needed research is replication of the research design reported here, but in other countries. Although the multi-time point, multi-location results suggest the generalizability of our result in Uganda, questions remain about its generalizability to other countries.

The findings of this study show that early condom use at sexual debut is strongly associated with later and consistent condom use in Uganda, and therefore support the development and implementation of evidence-based condom use strategies for youths prior to the initiation of sexual activity. While these results should influence educational and social policy in Uganda as a means of protecting youths, more aptly they may suggest increasing focus on condom use from the first sexual encounter both within and outside of Uganda.

Supporting Information

File S1

Tables S1–S3. Table S1. Adjusted odds ratios from multiple logistic regression (all sexually actives). Table S2. Adjusted odds ratios from multiple logistic regression (sexually active males). Table S3. Adjusted odds ratios from multiple logistic regression (sexually active females).

(DOCX)

Acknowledgments

The authors gratefully acknowledge Nick Atkins, Charles Nkolo and Ronald Egonda for their support in developing the database, and William Vargas for his support over the years as an exceptional LQAS trainer. We also are grateful for the entire STAR-E staff who has worked in support of the LQAS data collection including Esther Sempiira and Edward Were. The authors wish to thank all of the districts staff for the collection of these data, and all those who participated in these surveys for their time and trust.

Funding Statement

This study is made possible by the generous support of the American people through the United States Agency for International Development (USAID) through Sub-award Number: 617-A-00-09-00006-00-LATH. The contents are the responsibility of the Liverpool School of Tropical Medicine and Management Science for Health and do not necessarily reflect the views of USAID or the United States Government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Gray RH, Kigozi G, Serwadda D, Makumbi F, Watya S, et al. (2007) Male circumcision for HIV prevention in men in Rakai, Uganda: a randomised trial. Lancet 369: 657–666. [DOI] [PubMed] [Google Scholar]
  • 2. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, et al. (2011) Prevention of HIV-1 infection with early antiretroviral therapy. The New England Journal of Medicine 365: 493–505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.UNAIDS (2010) 2010 UNAIDS Report on the Global AIDS Epidemic. Geneva: UNAIDS.
  • 4. Foss AM, Watts CH, Vickerman P, Heise L (2004) Condoms and prevention of HIV. British Medical Journal 329: 185–186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Steiner MJ, Cates W Jr (2006) Condoms and sexually-transmitted infections. The New England journal of medicine 354: 2642–2643. [DOI] [PubMed] [Google Scholar]
  • 6. Bogale GW, Boer H, Seydel ER (2010) Condom use among low-literate, rural females in Ethiopia: the role of vulnerability to HIV infection, condom attitude, and self-efficacy. AIDS Care 22: 851–857. [DOI] [PubMed] [Google Scholar]
  • 7.UNAIDS (2007) Sub-Saharan Africa, AIDS epidemic update regional summary.
  • 8.Ministry of Health (2012) Uganda AIDS Indicator Survey. Kampala: Ministry of Health.
  • 9. Cherutich P, Brentlinger P, Nduati R, Kiarie JN, Farquhar C (2008) Condom use among sexually active Kenyan female adolescents at risk for HIV-1 infection. AIDS and Behavior 12: 923–929. [DOI] [PubMed] [Google Scholar]
  • 10. Hendriksen SE, Pettifor A, Lee S-J, Coates TJ, Rees HV (2007) Predictors of Condom Use Among Young Adults in South Africa: The Reproductive Health and HIV Research Unit National Youth Survey. American Journal of Public Health 97: 1241–1248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Maharaj P, Cleland J (2005) Women on top: the relative influence of wives and husbands on contraceptive use in KwaZulu-Natal. Women & Health 41: 31–41. [DOI] [PubMed] [Google Scholar]
  • 12. Papo JK, Bauni EK, Sanders EJ, Brocklehurst P, Jaffe HW (2011) Exploring the condom gap: is supply or demand the limiting factor - condom access and use in an urban and a rural setting in Kilifi district, Kenya. AIDS 25: 247–255. [DOI] [PubMed] [Google Scholar]
  • 13. Prata N, Vahidnia F, Fraser A (2005) Gender and Relationship Differences in Condom Use among 15–24-Year-Olds in Angola. International Family Planning Perspectives 31: 192–199. [DOI] [PubMed] [Google Scholar]
  • 14. Schaalma H, Aaro LE, Flisher AJ, Mathews C, Kaaya S, et al. (2009) Correlates of intention to use condoms among Sub-Saharan African youth: the applicability of the theory of planned behaviour. Scandinavian Journal of Public Health 37 Suppl 287–91. [DOI] [PubMed] [Google Scholar]
  • 15. Baker DP, Leon J, Collins JM (2011) Facts, attitudes, and health reasoning about HIV and AIDS: explaining the education effect on condom use among adults in sub-Saharan Africa. AIDS and Behavior 15: 1319–1327. [DOI] [PubMed] [Google Scholar]
  • 16. Bankole A, Singh S, Hussain R, Oestreicher G (2009) Condom use for preventing STI/HIV and unintended pregnancy among young men in Sub-Saharan Africa. American Journal of Men’s Health 3: 60–78. [DOI] [PubMed] [Google Scholar]
  • 17. Msamanga G, Tchetgen E, Spiegelman D, Fawzi MK, Kaaya S, et al. (2009) Determinants of condom use among antenatal clinic attendees in Dar es Salaam, Tanzania. East African journal of public health 6: 175–183. [PubMed] [Google Scholar]
  • 18. Foss AM, Hossain M, Vickerman PT, Watts CH (2007) A systematic review of published evidence on intervention impact on condom use in sub-Saharan Africa and Asia. Sexually Transmitted Infections 83: 510–516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Kayiki SP, Forste R (2011) HIV/AIDS related knowledge and perceived risk associated with condom use among adolescents in Uganda. African Journal of Reproductive Health 15: 57–63. [PubMed] [Google Scholar]
  • 20. Oyediran KA, Feyisetan OI, Akpan T (2011) Predictors of Condom-use among Young Never-married Males in Nigeria. Journal of Health, Population, & Nutrition 29: 273–285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Kabiru CW, Orpinas P (2009) Correlates of condom use among male high school students in Nairobi, Kenya. The Journal of School Health 79: 425–432. [DOI] [PubMed] [Google Scholar]
  • 22. Wellings K, Collumbien M, Slaymaker E, Singh S, Hodges Z, et al. (2006) Sexual behaviour in context: a global perspective. Lancet 368: 1706–1728. [DOI] [PubMed] [Google Scholar]
  • 23.Beyeza-Kashesya J, Kaharuza F, Ekstrom AM, Neema S, Kulane A, et al. (2011) To use or not to use a condom: a prospective cohort study comparing contraceptive practices among HIV-infected and HIV-negative youth in Uganda. BMC Infectious Diseases 11. [DOI] [PMC free article] [PubMed]
  • 24. Rijsdijk LE, Bos AE, Ruiter RA, Leerlooijer JN, de Haas B, et al. (2011) The World Starts With Me: a multilevel evaluation of a comprehensive sex education programme targeting adolescents in Uganda. BMC Public Health 11: 334–2458–2411–2334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Hirsl-Hecej V, Stulhofer A (2001) Urban adolescents and sexual risk taking. Collegium Antropologicum 25: 195–212. [PubMed] [Google Scholar]
  • 26. Shafii T, Stovel K, Holmes K (2007) Association Between Condom Use at Sexual Debut and Subsequent Sexual Trajectories: A Longitudinal Study Using Biomarkers. American Journal of Public Health 97: 1090–1095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Stulhofer A, Bacak V, Ajdukovic D, Graham C (2010) Understanding the association between condom use at first and most recent sexual intercourse: an assessment of normative, calculative, and habitual explanations. Social Science & Medicine 70: 2080–2084. [DOI] [PubMed] [Google Scholar]
  • 28. Yotebieng M, Halpern CT, Mitchell EM, Adimora AA (2009) Correlates of condom use among sexually experienced secondary-school male students in Nairobi, Kenya. Journal of Social Aspects of HIV/AIDS Research Alliance 6: 9–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Smoak ND, Scott-Sheldon LA, Johnson BT, Carey MP (2006) Sexual risk reduction interventions do not inadvertently increase the overall frequency of sexual behavior: a meta-analysis of 174 studies with 116,735 participants. Journal of Acquired Immune Deficiency Syndromes 41: 374–384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mukaire J, Kaweesa D, Ssekamatte-Ssebuliba JB, Valadez JJ (2004) Assessment of HIV/AIDS Related Knowledge, Practices and Coverage In 19 Districts Supported by the Uganda AIDS Control Project. Kampala: Uganda AIDS Control Project.
  • 31.The World Bank (2007) Implementation and Completion Report: Uganda HIV/AIDS Control Project. Washington, DC: The World Bank.
  • 32. Dodge HF, Romig HG (1929) A method of sampling inspection. The Bell System Technical Journal 8: 613. [Google Scholar]
  • 33. Robertson SE, Valadez JJ (2006) Global review of health care surveys using lot quality assurance sampling (LQAS), 1984–2004. Social Science & Medicine 63: 1648–1660. [DOI] [PubMed] [Google Scholar]
  • 34.Valadez JJ (1991) Assessing child survival programs in developing countries: testing lot quality assurance sampling. Boston: Harvard University Press. 247 p. [Google Scholar]
  • 35. Robertson SE, Anker M, Roisin AJ, Macklai N, Engstrom K (1997) The lot quality technique: a global review of applications in the assessment of health services and diseases surveillance. World Health Statistical Quarterly 50: 199–209. [PubMed] [Google Scholar]
  • 36.Valadez JJ, Weiss W, Leburg C, Davis R, Teaching-Aids at Low Cost (2007) Assessing community health programs: a trainer’s guide: using LQAS for baseline surveys and regular monitoring. St. Albans: TALC Teaching-Aids at Low Cost. 115, 137 p. [Google Scholar]
  • 37.Lwanga SK, Lemeshow S (1991) Sample Size Determination in Health Studies: A Practical Manual. Geneva: World Health Organization.
  • 38. Sneed CD, Morisky DE, Rotheram-Borus M, Ebin V, Malotte CK, et al. (2001) ‘Don’t know’ and ‘didn’t think of it’: condom use at first intercourse by Latino adolescents. AIDS Care 13: 303–308. [DOI] [PubMed] [Google Scholar]
  • 39. Teixeira AMFB, Knauth DR, Fachel JMGe, Leal AF (2006) Teenagers and condom use: choices by young Brazilians from three Brazilian State capitals in their first and last sexual intercourse. Cadernos De Saõ de Pública/Ministério Da Saüde, Fundação Oswaldo Cruz, Escola Nacional De Saõ de Pública 22: 1385–1396. [DOI] [PubMed] [Google Scholar]
  • 40. Klavs I, Rodrigues LC, Wellings K, Weiss HA, Hayes R (2005) Increased condom use at sexual debut in the general population of Slovenia and association with subsequent condom use. AIDS 19: 1215–1223. [DOI] [PubMed] [Google Scholar]
  • 41. Abramsky T, Watts CH, Garcia-Moreno C, Devries K, Kiss L, et al. (2011) What factors are associated with recent intimate partner violence? findings from the WHO multi-country study on women’s health and domestic violence. BMC Public Health 11: 109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Baele J, Dusseldorp E, Maes S (2001) Condom use self-efficacy: effect on intended and actual condom use in adolescents. The Journal of Adolescent Health 28: 421–431. [DOI] [PubMed] [Google Scholar]
  • 43. Chin HB, Sipe TA, Elder R, Mercer SL, Chattopadhyay SK, et al. (2012) The effectiveness of group-based comprehensive risk-reduction and abstinence education interventions to prevent or reduce the risk of adolescent pregnancy, human immunodeficiency virus, and sexually transmitted infections: two systematic reviews for the Guide to Community Preventive Services. American Journal of Preventive Medicine 42: 272–294. [DOI] [PubMed] [Google Scholar]
  • 44. Berer M (2006) Condoms, yes! “Abstinence”. no. Reproductive Health Matters 14: 6–16. [DOI] [PubMed] [Google Scholar]
  • 45. Maharaj P, Cleland J (2006) Condoms become the norm in the sexual culture of college students in Durban, South Africa. Reproductive Health Matters 14: 104–112. [DOI] [PubMed] [Google Scholar]
  • 46. Bellan SE, Fiorella KJ, Melesse DY, Getz WM, Williams BG, et al. (2013) Extra-couple HIV transmission in sub-Saharan Africa: a mathematical modelling study of survey data. Lancet 381: 1561–1569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Babalola S (2006) Gender differences in the factors influencing consistent condom use among young people in Tanzania. International Journal of Adolescent Medicine and Health 18: 287–298. [DOI] [PubMed] [Google Scholar]
  • 48. DiClemente RJ, Wingood GM, Harrington KF, Lang DL, Davies SL, et al. (2004) Efficacy of an HIV prevention intervention for African American adolescent girls: a randomized controlled trial. Journal of the American Medical Association 292: 171–179. [DOI] [PubMed] [Google Scholar]
  • 49. Maticka-Tyndale E, Tenkorang EY (2010) A multi-level model of condom use among male and female upper primary school students in Nyanza, Kenya. Social Science & Medicine 71: 616–625. [DOI] [PubMed] [Google Scholar]
  • 50. Miranda AE, Figueiredo NC, McFarland W, Schmidt R, Page K (2011) Predicting condom use in young women: demographics, behaviours and knowledge from a population-based sample in Brazil. International Journal of STD & AIDS 22: 590–595. [DOI] [PubMed] [Google Scholar]
  • 51. Reid AE, Aiken LS (2011) Integration of five health behaviour models: common strengths and unique contributions to understanding condom use. Psychology & Health 26: 1499–1520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Siegler AJ, Mbwambo JK, McCarty FA, DiClemente RJ (2012) Condoms “contain worms” and “cause HIV” in Tanzania: Negative Condom Beliefs Scale development and implications for HIV prevention. Social Science & Medicine 75: 1685–1691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Younge SN, Salazar LF, Crosby RF, DiClemente RJ, Wingood GM, et al. (2008) Condom use at last sex as a proxy for other measures of condom use: Is it good enough? Adolescence 43: 927–931. [PMC free article] [PubMed] [Google Scholar]
  • 54. Saile R, Neuner F, Ertl V, Catani C (2013) Prevalence and predictors of partner violence against women in the aftermath of war: a survey among couples in Northern Uganda. Social Science & Medicine 86: 17–25. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

File S1

Tables S1–S3. Table S1. Adjusted odds ratios from multiple logistic regression (all sexually actives). Table S2. Adjusted odds ratios from multiple logistic regression (sexually active males). Table S3. Adjusted odds ratios from multiple logistic regression (sexually active females).

(DOCX)


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES